Recursive models of dynamic linear economies / Lars Peter Hansen, Thomas J. Sargent.
Tipo de material: TextoIdioma: Inglés Detalles de publicación: Princeton, New Jersey : Princeton University Press, 2014.Descripción: xv, 399 páginas : ilustraciones, gráficas a blanco y negro ; 26 cmISBN:- 9780691042770
- HB 135 .H357 2014
Tipo de ítem | Biblioteca actual | Signatura | Estado | Fecha de vencimiento | Código de barras |
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HB 135 .H357 1981-86 Handbook of mathematical economics / | HB 135 .H357 1981-86 Handbook of mathematical economics / | HB 135 .H357 1981-86 Handbook of mathematical economics / | HB 135 .H357 2014 Recursive models of dynamic linear economies / | HB 135 .H9 1979 Introducción al uso de la matemática en el análisis económico / | HB 135 .K35 1968 La asignación óptima de los recursos económicos / | HB 135 .K9 1979 Investigación cuantitativa del crecimiento económico / |
Preface, xiii -- Acknowledgments, xv -- Part I. Overview: theory and econometrics, 3 -- Part II. Tools -- 2. Linear stochastic difference equations, 15 -- 3. Efficient computations, 33 -- Part III. Components of economies -- 4. Economic environments, 61 -- 5. Optimal resource allocations, 79 -- 6. A commodity space, 125 -- 7. Competitive economies, 131 -- Part IV. Representations and properties -- 8. Statical representations, 153 -- 9. Canonical household technologies, 191 -- 10. Examples, 217 -- 11. Permanent income models, 233 -- 12. Gorman heterogeneous households, 253 -- 13. Complete markets aggregation, 269 -- 14. Periodic models of seasonality, 291 -- A. Matlab Programs, 327 -- References, 379 -- Subject index, 393 -- Author index, 397 -- Matlab index, 399
This book views many apparently disparate dynamic economic models as examples of a single class of models that can be adapted and specialized to study diverse economic phenomena. The class of models was created by using recent advances in (i) the theory of recursive dynamic competitive economies; 1 (ii) methods for estimating and interpreting vector autoregression; 2 (iii) linear optimal control theory;3 and (iv) computer languages for rapidly manipulating linear optimal control systems.4 We combine these elements to build a class of models for which the competitive equilibria are vector autoregressions that can be swiftly computed, represented, and simulated using the methods of linear optimal control theory. We use the computer language Matlab to implement the computations. This language has a powerful vocabulary and a convenient structure that liberate time and energy from programming, and thereby spur creative application of linear control theory. Our goal has been to create a class of models that merge recursive economic theory and with dynamic econometrics. Systems of autoregressions and of mixed autogregressive, moving average processes are a dominant setting for dynamic econometrics. We constructed our economic models by adopting a version of recursive competitive theory in which an outcome of theorizing is a vector autoregression.
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